metadata
language:
- fi
license: apache-2.0
tags:
- generated_from_trainer
- automatic-speech-recognition
- robust-speech-event
- hf-asr-leaderboard
base_model: facebook/wav2vec2-xls-r-1b
model-index:
- name: wav2vec2-xlsr-fi-lm-1B
results: []
wav2vec2-xlsr-fi-lm-1B
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common voice train/dev/other datasets. It achieves the following results on the evaluation set without language model:
- Loss: 0.1853
- Wer: 0.2205
With language model:
- Wer: 0.1026
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8158 | 0.67 | 400 | 0.4835 | 0.6310 |
| 0.5679 | 1.33 | 800 | 0.4806 | 0.5538 |
| 0.6055 | 2.0 | 1200 | 0.3888 | 0.5083 |
| 0.5353 | 2.67 | 1600 | 0.3258 | 0.4365 |
| 0.4883 | 3.33 | 2000 | 0.3313 | 0.4204 |
| 0.4513 | 4.0 | 2400 | 0.2924 | 0.3904 |
| 0.3753 | 4.67 | 2800 | 0.2593 | 0.3608 |
| 0.3478 | 5.33 | 3200 | 0.2832 | 0.3551 |
| 0.3796 | 6.0 | 3600 | 0.2495 | 0.3402 |
| 0.2556 | 6.67 | 4000 | 0.2342 | 0.3106 |
| 0.229 | 7.33 | 4400 | 0.2181 | 0.2812 |
| 0.205 | 8.0 | 4800 | 0.2041 | 0.2523 |
| 0.1654 | 8.67 | 5200 | 0.2015 | 0.2416 |
| 0.152 | 9.33 | 5600 | 0.1942 | 0.2294 |
| 0.1569 | 10.0 | 6000 | 0.1853 | 0.2205 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.11.0